---
library_name: transformers
license: apache-2.0
base_model: google/byt5-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: byt5-small-finetuned-yiddish-experiment-11
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# byt5-small-finetuned-yiddish-experiment-11

This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1805
- Cer: 0.1974
- Wer: 0.5776

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 600
- num_epochs: 30

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer    | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 9.199         | 1.8868  | 100  | 10.8497         | 0.2853 | 0.7144 |
| 9.1103        | 3.7736  | 200  | 10.3073         | 0.2701 | 0.6874 |
| 8.5159        | 5.6604  | 300  | 9.1649          | 0.2579 | 0.6603 |
| 7.6411        | 7.5472  | 400  | 7.9065          | 0.2445 | 0.6396 |
| 6.8548        | 9.4340  | 500  | 6.6809          | 0.2340 | 0.6237 |
| 6.1063        | 11.3208 | 600  | 5.4130          | 0.2272 | 0.6142 |
| 4.7529        | 13.2075 | 700  | 4.1840          | 0.2224 | 0.6126 |
| 3.7885        | 15.0943 | 800  | 3.1426          | 0.2183 | 0.6110 |
| 2.9438        | 16.9811 | 900  | 2.1589          | 0.2141 | 0.6038 |
| 2.1457        | 18.8679 | 1000 | 1.4059          | 0.2101 | 0.5951 |
| 1.6163        | 20.7547 | 1100 | 1.2903          | 0.2053 | 0.5863 |
| 1.3877        | 22.6415 | 1200 | 1.2429          | 0.2024 | 0.5855 |
| 1.3156        | 24.5283 | 1300 | 1.2100          | 0.1984 | 0.5784 |
| 1.2623        | 26.4151 | 1400 | 1.1897          | 0.1981 | 0.5776 |
| 1.2381        | 28.3019 | 1500 | 1.1805          | 0.1974 | 0.5776 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 2.14.4
- Tokenizers 0.21.0